README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - epi_classify4_gard
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: results
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: epi_classify4_gard
          type: epi_classify4_gard
          args: default
        metrics:
          - name: Precision
            type: precision
            value: 0.875
          - name: Recall
            type: recall
            value: 0.9032258064516129
          - name: F1
            type: f1
            value: 0.8888888888888888
          - name: Accuracy
            type: accuracy
            value: 0.986

results

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the epi_classify4_gard dataset. It achieves the following results on the evaluation set:

• Loss: 0.0541
• Precision: 0.875
• Recall: 0.9032
• F1: 0.8889
• Accuracy: 0.986

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4.0

Training results

Framework versions

• Transformers 4.12.5
• Pytorch 1.9.0+cu102
• Datasets 1.12.1
• Tokenizers 0.10.3